1) GM-type Car-following Models
GM类车辆跟驰模型
2) car-following model
车辆跟驰模型
1.
Summarization of car-following models based on security distance;
基于安全间距的车辆跟驰模型研究综述
2.
The car-following models and lane changing models are the basic microscopic traffic flow models.
车辆跟驰模型和换车道模型是微观交通流模型研究的基础。
3.
Specifically,we present a full velocity difference(FVD) car-following model,a cellular automata(CA) model that considers the velocity effect of the preceding car,another CA model that can describe the synchronized flow,and a speed gradient(SG) macroscopic model which can describe the anisotropic properties of traffic flow.
具体地说,我们提出了一种全速度差车辆跟驰模型,一种考虑前车速度效应的元胞自动机模型,另一种能较好模拟同步流的元胞自动机模型,以及一种能体现交通流各向异性特征的速度梯度宏观连续模型。
3) Car following model
车辆跟驰模型
1.
Secondly, this thesis reviews the development and tendency of car following models, and finds behavioral threshold .
本文首先分析了城市快速的交通运行特性，认为采用车辆跟驰模型描述城市快速路的交通运行特性是合理的；然后分析了车辆跟驰模型研究的历史、现状和发展趋势，认为行为阈值模型最符合实际的车辆跟驰特性；接着分析了行为阈值模型的理论基础，并根据我国的实际情况，借鉴前人的研究成果，建立了城市快速路交通流的行为阈值模型。
5) car-following
车辆跟驰
1.
Car-following Behavioral Time-serial Data Collection in Real Traffic Flow;
车辆跟驰时间序列实测数据采集方法研究
2.
Development of a Car-following Model Based on Artificial Neural Networks;
基于神经网络的车辆跟驰模型的建立
3.
Interval Analysis Method for Safety Distance of Car-following
车辆跟驰安全距离的区间分析方法
6) car following
车辆跟驰
1.
The car following model is a basic model for traffic simulation.
车辆跟驰模型是微观交通流仿真的一个基本模型,它是构成许多重要研究领域的基石。
2.
And in particular,this paper proposes that it is important to take into full consideration the influence of digital driving behavior on car following modeling and simulation in intelligent traffic flow research, so as to correctly reveal the.
着重从驾驶行为分析的角度,对车辆跟驰模型中与人的因素有关的GM模型、CA模型、线性Helly模型、AP模型以及基于模糊逻辑和神经网络的车辆跟驰模型进行了详细的评述,提出了未来智能交通流中应充分考虑到数字驾驶行为对智能车辆跟驰建模与仿真的影响,以期正确地揭示出交通流的特性和本质。
3.
A car following decision support model is developed using the artificial neural networks(ANN).
应用神经网络模拟无车道变换行为的单一车道车辆跟驰行产 (加速、减速、不动作 ) 神经网络的自学习特点 ,使得神经网络模型把驾驶员周围的各种信息并行结合起为产生可靠的模拟结
补充资料：并驰
1.齐头并进。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
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